Dataset for manuscript "Consequences of the failure of equipartition for the p-V behavior of liquid water and the hydration free energy components of a small protein"
- Asthagiri, Dilipkumar N | Oak Ridge National Laboratory
- Valiya Parambathu, Arjun | University of Delaware, Newark
- Beck, Thomas L | Oak Ridge National Laboratory
Overview
Description
Previously, we showed that in the molecular dynamics simulation of a rigid model of water it is necessary to use an integration time-step dt that is less than or equal to 0.5 fs to ensure equipartition between translational and rotational modes.
We extended that study in the NVT ensemble to NpT conditions and to an aqueous protein. We study neat liquid water with the rigid, SPC/E model and the protein BBA (PDB ID: 1FME) solvated in the rigid, TIP3P model. We examined integration time-steps ranging from 0.5 fs to 4.0 fs for various thermostat plus barostat combinations. We find that a small time-step, dt, is necessary to ensure consistent prediction of the simulation volume. Hydrogen mass repartitioning alleviates the problem somewhat, but is ineffective for the typical time-step used with this approach.
The compressibility, a measure of volume fluctuations, is seen to be sensitive to dt. Using the mean volume estimated from the NpT simulation, we examined the electrostatic and van der Waals contribution to the hydration free energy of the protein in the NVT ensemble. These contributions are also sensitive to dt. In going from a time-step of 2 fs to a time-step of 0.5 fs,
the change in the net electrostatic plus van der Waals contribution to the hydration of BBA is already in excess of the folding free energy reported for this protein.
The data-set contains the simulation metadata and log files that support the claims noted above.
Funding resources
DOE contract number
DE-AC05-00OR22725Originating research organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring organization
Office of Science (SC)Related resources
- IsPartOf (DOI): https://doi.org/10.48550/arXiv.2412.03448
Details
DOI
10.13139/OLCF/2480346Release date
December 12, 2024Dataset
Dataset type
ND Numeric DataSoftware
MDAnalysis package (Python) for interpreting binary trajectoryAcknowledgements
Users should acknowledge the OLCF in all publications and presentations that speak to work performed on OLCF resources:
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.
Category
- 74 ATOMIC AND MOLECULAR PHYSICS,
- 59 BASIC BIOLOGICAL SCIENCES,
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS,
- 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Keywords
- Molecular Dynamics,
- statistical mechanics,
- Thermodynamics